Lead AI Solutions Architect (Lead AI Engineer)

SchoolsFirst FCU; Sacramento (CA); Presencial; USD 130.000 - 214.000; Jornada completa

Descripción de la vacante

SchoolsFirst FCU in Sacramento, CA, is seeking a senior engineer to lead end-to-end delivery of AI, automation, and agentic solutions in a production-focused role. You will establish technical standards, drive enterprise integrations, and ensure secure, reliable outcomes through strong engineering practices.

This onsite position requires 7-10 years of relevant experience, a related degree, and expertise in AI-enabled workflows, RAG, and secure scalable architectures.

Formación

• Designing, implementing, and deploying AI/automation in production environments.
• Experience delivering enterprise AI solutions with integration across systems.
• Strong knowledge of security, identity, and governance in cloud-native architectures.

Responsabilidades

• Lead design, delivery, and continuous improvement of AI-enabled automation and agentic solutions.
• Own end-to-end engineering for AI-enabled workflows and agents.
• Translate PoC into production with reliable operations and monitoring.

Conocimientos

AI/ML architecture

Cloud platforms

APIs & integrations

Security & IAM

Educación

High School Diploma or GED

Bachelor’s Degree in a related field

Herramientas

Azure AI Apps

RAG tooling

Git & CI/CD

Descripción del empleo

Join SchoolsFirst FCU to lead the end-to-end delivery of complex AI, automation, and agentic solutions in a hands-on, production-focused role. You will help establish technical standards, drive enterprise integrations, and ensure reliable, secure outcomes through strong engineering practices and continuous improvement. This onsite position is based in Sacramento, CA.

Compensation: USD 129,880 - 214,303 per year.

What you’ll do

• Lead the design, delivery, and continuous improvement of AI-enabled automation and agentic solutions by setting technical standards, guiding implementation through production deployment, and mentoring teams to improve quality, scalability, and business value.
• Own end-to-end engineering for AI-enabled workflows and solutions, including the creation, integration, testing, deployment, and operations of agents and shared platform capabilities.
• Take responsibility for technical delivery from proof of concept through production support for AI and automation initiatives.
• Create reusable reference implementations, components, and engineering patterns for knowledge assistants, retrieval-augmented generation (RAG), agents, tool and API integrations, human-in-the-loop controls, and citizen developer capabilities.
• Define how stand-alone and embedded RPA workflows and AI agents fit within enterprise architecture, and guide engineers in building secure, scalable, maintainable solutions.
• Lead integrations across enterprise applications, data services, APIs, and approved AI and orchestration platforms.
• Establish and improve engineering practices, including version control, CI/CD, evaluation frameworks, regression testing, and release management for AI, agent, and workflow solutions.
• Define and validate nonfunctional requirements such as reliability, scalability, performance, observability, auditability, and supportability.
• Implement approved data access, identity, least-privilege, and governance controls in partnership with Architecture, Information Security, and Data teams.
• Lead technical design, code, testing, and production-readiness reviews, resolve complex implementation issues, and provide escalation support.
• Build operational excellence through monitoring, logging, alerting, operational dashboards, runbooks, and incident response procedures to improve platform performance and resiliency.
• Evaluate AI and agentic technologies using technical proofs of value and recommend platform, vendor, and solution approaches; provide thought leadership on emerging AI, automation, and digital transformation technologies.
• Mentor engineers, coordinate delivery across teams, and promote reusable engineering practices that improve consistency and delivery effectiveness.
• Perform other duties as assigned.

What you bring

• High School Diploma or GED required.
• Bachelor’s Degree in a related field or equivalent years of experience required.
• 7-10 years of prior relevant experience required.
• Demonstrated experience designing, implementing, and deploying in production for traditional AI, ML, generative AI, and agentic AI.
• Advanced knowledge of enterprise solution architecture, cloud platforms, systems integration, and distributed application design.
• Expertise in designing API-driven, event-driven, and AI-enabled solutions that support enterprise scalability, security, and operational effectiveness.
• Advanced knowledge of generative AI, LLMs, RAG, AI agents, intelligent automation, and RPA platforms and orchestration, including low-code development technologies.
• Strong knowledge of identity and access management, security architecture, data governance, privacy requirements, and zero-trust principles.
• Knowledge of enterprise data architecture, integration patterns, observability frameworks, and operational support considerations.
• Ability to evaluate technologies, vendors, and architectural approaches and recommend options aligned to business needs and enterprise standards.
• Ability to establish technical standards, reference architectures, design patterns, and governance practices that support consistency, scalability, and maintainability.
• Ability to lead cross-functional solution design, influence technical decisions, and communicate complex architectural concepts and tradeoffs to technical and business stakeholders.

Preferred certifications

• Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103)
• Microsoft Certified: Machine Learning Operations Engineer Associate (AI-300)
• Microsoft Certified: AI Agent Builder Associate (AB-620)
• AWS Certified Generative AI Developer – Professional

Key technologies

RAG, RPA (robotic process automation), CI/CD, LLMs, Azure AI Apps and Agents Developer Associate (AI-103), Microsoft Machine Learning Operations Engineer Associate (AI-300), AI Agent Builder Associate (AB-620), AWS Certified Generative AI Developer – Professional, and zero-trust principles.

Additional job functions

• Performs other duties as assigned.
• Complies with regulatory compliance and assigned training requirements, including but not limited to BSA regulations corresponding to their specific job duties. Failure to do so may result in disciplinary and other employment related actions.